A/B or multi-variate testing as replacement for UX design?

1. What is multivariate testing in UX?
2. Is AB testing the same as multivariate testing?
3. What is AB testing in UX design?
4. What is better than ab testing?
5. Is AB testing the same as usability testing?

What is multivariate testing in UX?

What is multivariate testing. Multivariate testing is a user testing technique for validating a design hypothesis. The product team modifies multiple variables and uses multivariate testing to determine which combination of variations performs the best out of all of the possible combinations.

Is AB testing the same as multivariate testing?

A/B tests and multivariate tests are similar in how they're conducted. The main difference is that A/B tests look at the performance of just one variable at a time or the overall page whereas multivariate tests are testing multiple variables at once.

What is AB testing in UX design?

A/B testing (split testing) is a quantitative method of finding the best performing version of CTA, copy, image, or any other variable. To start A/B testing, prepare two or more versions of a single element, randomly split your user group in two, and see which version performs better.

What is better than ab testing?

Multivariate testing uses the same core mechanism as A/B testing, but compares a higher number of variables, and reveals more information about how these variables interact with one another. As in an A/B test, traffic to a page is split between different versions of the design.

Is AB testing the same as usability testing?

Usability testing explains users' behaviors and why they decide to do an action, whereas A/B testing explains users' preferences and what feature performs the best on your site. Usability testing provides qualitative data, and A/B testing explains the quantitative data. For optimal results, use both options.